ELEC-E7460 - Modelling and Simulation D, Lecture, 7.9.2022-1.12.2022

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After the course the student has the following knowledge:
1) The student can analyze the performance of non-Markovian systems by using discrete event simulation, including the appropriate statistical analysis of the simulation data.
2) The student can design a new random number generator for a given distribution, when a standard generator is not available.
3) The student can simulate complex multi-server queuing models that are used to model computer and communication systems.
4) The student can develop simulation programs using Mathematica.

Credits: 5

Schedule: 07.09.2022 - 01.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Pasi Lassila

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    1) Discrete event simulation method;
    2) Pseudo random numbers and generation of random variables from given distributions;
    3) Steady state simulation and statistical analysis of simulation data;
    4) Variance reduction methods;
    5) Simulation of (discrete state) Markov processes and elementary birth-death processes;
    6) Simulation of M/G/1 queue with application to scheduling in cellular systems;
    7) Job dispatching problem in server farms and its simulation;

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Mid-term exam, project works, home assignments

Workload

  • valid for whole curriculum period:

    Contact hours 32 h
    Independent work 101 h

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

    Enrollment :

    Registration for Courses on Sisu (sisu.aalto.fi).

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Aalto University Code of Academic Integrity and Handling Violations Thereof